Micro and small industries (MSIs) exhibit diverse business characteristics, resulting in different patterns of business difficulties across industry groups. This study aims to identify the heterogeneity of business difficulties among MSIs across Indonesian Standard Industrial Classification (KBLI) groups using Correspondence Analysis (CA). The study uses weighted data from the 2024 Micro and Small Industry Survey (VIMK), conducted by Statistics Indonesia (BPS), to represent national conditions. The analysis covered 23 KBLI groups and six types of business difficulties. The Chi-square test indicated a significant association between KBLI groups and types of business difficulties (p < 0.001), while the first two dimensions of the CA explained 77.91% of the total inertia. The correspondence analysis showed that raw materials, infrastructure, and marketing were the main contributors to the association structure, indicating heterogeneous patterns of business difficulties across industry groups. These findings provide insights into industry-specific difficulties faced by Indonesian MSIs.
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